{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T16:58:38Z","timestamp":1758473918972,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031721199"},{"type":"electronic","value":"9783031721205"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-72120-5_45","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T12:02:53Z","timestamp":1727870573000},"page":"481-491","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Non-adversarial Learning: Vector-Quantized Common Latent Space for\u00a0Multi-sequence MRI"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4046-2763","authenticated-orcid":false,"given":"Luyi","family":"Han","sequence":"first","affiliation":[]},{"given":"Tao","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Tianyu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Chunyao","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Xinglong","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Haoran","family":"Dou","sequence":"additional","affiliation":[]},{"given":"Yunzhi","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Ritse","family":"Mann","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"key":"45_CR1","unstructured":"Baid, U., Ghodasara, S., Mohan, S., Bilello, M., Calabrese, E., Colak, E., Farahani, K., Kalpathy-Cramer, J., Kitamura, F.C., Pati, S., et\u00a0al.: The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification. arXiv preprint arXiv:2107.02314 (2021)"},{"issue":"1","key":"45_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/sdata.2017.117","volume":"4","author":"S Bakas","year":"2017","unstructured":"Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J.S., Freymann, J.B., Farahani, K., Davatzikos, C.: Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features. Scientific data 4(1), 1\u201313 (2017)","journal-title":"Scientific data"},{"issue":"3","key":"45_CR3","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1109\/TMI.2017.2764326","volume":"37","author":"A Chartsias","year":"2017","unstructured":"Chartsias, A., Joyce, T., Giuffrida, M.V., Tsaftaris, S.A.: Multimodal mr synthesis via modality-invariant latent representation. IEEE transactions on medical imaging 37(3), 803\u2013814 (2017)","journal-title":"IEEE transactions on medical imaging"},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Chen, J.H., Su, M.Y., et\u00a0al.: Clinical application of magnetic resonance imaging in management of breast cancer patients receiving neoadjuvant chemotherapy. BioMed research international 2013 (2013)","DOI":"10.1155\/2013\/348167"},{"key":"45_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106547","volume":"124","author":"Z Chen","year":"2023","unstructured":"Chen, Z., Cai, L., Chen, C., Fu, X., Yang, X., Yuan, B., Lu, Q., Zhou, H.: Unsupervised image-to-image translation in multi-parametric mri of bladder cancer. Engineering Applications of Artificial Intelligence 124, 106547 (2023)","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"10","key":"45_CR6","doi-asserted-by":"publisher","first-page":"2598","DOI":"10.1109\/TMI.2022.3167808","volume":"41","author":"O Dalmaz","year":"2022","unstructured":"Dalmaz, O., Yurt, M., \u00c7ukur, T.: Resvit: Residual vision transformers for multimodal medical image synthesis. IEEE Transactions on Medical Imaging 41(10), 2598\u20132614 (2022)","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"11","key":"45_CR7","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial networks. Communications of the ACM 63(11), 139\u2013144 (2020)","journal-title":"Communications of the ACM"},{"key":"45_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103044","volume":"92","author":"L Han","year":"2024","unstructured":"Han, L., Tan, T., Zhang, T., Huang, Y., Wang, X., Gao, Y., Teuwen, J., Mann, R.: Synthesis-based imaging-differentiation representation learning for multi-sequence 3d\/4d mri. Medical Image Analysis 92, 103044 (2024)","journal-title":"Medical Image Analysis"},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"Hu, X., Zhou, X., Huang, Q., Shi, Z., Sun, L., Li, Q.: Qs-attn: Query-selected attention for contrastive learning in i2i translation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 18291\u201318300 (2022)","DOI":"10.1109\/CVPR52688.2022.01775"},{"issue":"2","key":"45_CR10","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2021","unstructured":"Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: nnu-net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods 18(2), 203\u2013211 (2021)","journal-title":"Nature methods"},{"key":"45_CR11","doi-asserted-by":"crossref","unstructured":"Jiang, J., Veeraraghavan, H.: Unified cross-modality feature disentangler for unsupervised multi-domain mri abdomen organs segmentation. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part II 23. pp. 347\u2013358. Springer (2020)","DOI":"10.1007\/978-3-030-59713-9_34"},{"key":"45_CR12","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)"},{"issue":"3","key":"45_CR13","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1148\/radiol.2019182947","volume":"292","author":"RM Mann","year":"2019","unstructured":"Mann, R.M., Cho, N., Moy, L.: Breast mri: state of the art. Radiology 292(3), 520\u2013536 (2019)","journal-title":"Radiology"},{"issue":"10","key":"45_CR14","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/TMI.2014.2377694","volume":"34","author":"BH Menze","year":"2014","unstructured":"Menze, B.H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et\u00a0al.: The multimodal brain tumor image segmentation benchmark (brats). IEEE transactions on medical imaging 34(10), 1993\u20132024 (2014)","journal-title":"IEEE transactions on medical imaging"},{"key":"45_CR15","doi-asserted-by":"crossref","unstructured":"Park, T., Efros, A.A., Zhang, R., Zhu, J.Y.: Contrastive learning for unpaired image-to-image translation. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part IX 16. pp. 319\u2013345. Springer (2020)","DOI":"10.1007\/978-3-030-58545-7_19"},{"issue":"4","key":"45_CR16","doi-asserted-by":"publisher","first-page":"1170","DOI":"10.1109\/TMI.2019.2945521","volume":"39","author":"A Sharma","year":"2019","unstructured":"Sharma, A., Hamarneh, G.: Missing mri pulse sequence synthesis using multi-modal generative adversarial network. IEEE transactions on medical imaging 39(4), 1170\u20131183 (2019)","journal-title":"IEEE transactions on medical imaging"},{"key":"45_CR17","unstructured":"Van Den\u00a0Oord, A., Vinyals, O., et\u00a0al.: Neural discrete representation learning. Advances in neural information processing systems 30 (2017)"},{"issue":"4","key":"45_CR18","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing 13(4), 600\u2013612 (2004)","journal-title":"IEEE transactions on image processing"},{"key":"45_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72120-5_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T12:27:36Z","timestamp":1727872056000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72120-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031721199","9783031721205"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72120-5_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2024\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}